Título Uncertainty management in peer-to-peer energy trading based on blockchain and distributed model predictive control
Autores Sivianes M. , VELARDE RUEDA, PABLO ANIBAL, Zafra-Cabeza A. , Maestre J.M. , Bordons C.
Publicación externa No
Alcance Conference Paper
Naturaleza Científica
Impacto SJR 0.365
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183616845&doi=10.1016%2fj.ifacol.2023.10.579&partnerID=40&md5=fa465fbfeedf2f2ca0a3d264e3c398d2
Fecha de publicacion 01/01/2023
Scopus Id 2-s2.0-85183616845
DOI 10.1016/j.ifacol.2023.10.579
Abstract This work presents a distributed energy management platform based on a smart contract displayed on a blockchain network to optimize the behavior of an energy community under stochastic disturbances, such as solar irradiance and agents\' energy demands. Disturbances are modeled as probability distributions and are handled by a distributed model predictive control scheme based on chance constraints. The performance of the proposed algorithm is assessed across various simulations. Copyright © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Palabras clave blockchain; energy and distribution management systems; predictive control; stochastic control
Miembros de la Universidad Loyola

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